index_product
AI agents use index_product to create or update resources in Search MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Search MCP environment.
Indexing a product in Elasticsearch creates or updates a document in the index, which is a write operation. The name strongly suggests adding or updating product data. However, since the description is empty, confidence is reduced.
From the tool's definition Tool name 'index_product' implies writing/indexing a product document into Elasticsearch. Description is empty and uninformative.
Attacks that exploit this kind of access
index_product. It is categorised as a Write tool in the Search MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Search MCP server in PolicyLayer and add a rule for index_product: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Search MCP. Nothing to install.
index_product is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the index_product rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for index_product. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
index_product is provided by the Search MCP server (piscaries/search_mcp_demo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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